779 Matplotlib Jobs - Page 31

ML Engineers 3-10 yrs Hybrid/ Pune 2 days WFO Time: 2-11 or 10-7 Certifications: Big plus if they are certified ML Engineers. Skills: Python, SQl is a must and need strong exp. certified candidates scikit-learn, tensorflow, pytorch Scientific python libs : Numpy, pandas, pyspark, dask, matplotlib, transformers, plotly Generative AI , Cloud (Azure) - Cloud is for Senior roles Big Data is a huge Plus people who worked with larger sets, for ex: FMCG, retail, telecom, oil and gas upstream/ downstream.

Strong programming skills in Python or R, with good knowledge in data manipulation, analysis, and visualization libraries (pandas, numpy, matplotlib, seaborn) Knowledge of machine learning techniques algorithms. FMCG industry will be preferable. Required Candidate profile Hands-on knowledge on machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Proficiency in SQL for data extraction, integration, and manipulation to analyze large datasets. Perks and benefits To be disclosed post interview

Management Level: Ind&Func AI Decision Science Manager Location: Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP). Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Manager to join the Accenture Strategy & Consulting team in the Global Network – Data & AI practice. This role will focus on Market Mix Modeling (MMM), where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. This role offers an exciting opportunity to collaborate with leading financial clients and leverage cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and the development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 5+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information Master's degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: 5+ years of advanced experience in Market Mix Modeling (MMM) and related optimization techniques for promotional channels and budget allocation 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics with reputed organizations Educational Qualification: Master’s degree in Statistics, Econometrics, Economics, or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

- Python, R, or Java - machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) - Tableau, Power BI, Matplotlib, Seaborn - big data technologies (e.g., Hadoop, Spark) & cloud platforms (e.g., AWS, Azure, GCP) - SQL and NoSQL databases

Face to Face Interview Only Assist in the development and implementation of machine learning models and algorithms. Write clean, efficient, and reusable Python code for data processing, modeling, and deployment. Work on datasets: data cleaning, preprocessing, feature engineering, and visualization. Collaborate with senior data scientists and developers to build scalable ML solutions. Conduct literature reviews and stay updated on the latest ML/AI research. Support model testing, tuning, evaluation, and documentation. Contribute to model deployment and integration with APIs or web applications (basic knowledge sufficient). Required Skills: Strong foundation in Python programming . Familiarity with machine learning libraries : scikit-learn, pandas, NumPy, TensorFlow or PyTorch. Understanding of ML concepts such as supervised/unsupervised learning, overfitting, cross-validation, etc. Basic experience in data visualization (e.g., Matplotlib, Seaborn). Ability to work with Jupyter Notebooks , Git, and basic version control. Good problem-solving and logical thinking skills. Eagerness to learn and adapt in a fast-paced environment Job Type: Internship Contract length: 3 months Pay: ₹8,000.00 - ₹10,000.00 per month Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

All Levels Comms & Media Non-Networks Join our team in Strategy consulting to find endless opportunities and solve our clients toughest challenges, as you work with exceptional people, the latest tech and leading companies across industries. Practice: Comms & Media, Industry Consulting, S&C Global Network (GN) I Areas of Work: Non-Networks | Level: Manager & Sr Manager | Location: Delhi, Gurgaon, Mumbai, Bangalore, Pune, Hyderabad | Years of Exp: 8- 15 years Explore an Exciting Career at Accenture Are you an outcome-oriented problem solver? Do you enjoy working on transformation strategies for global clients? Does working in an inclusive and collaborative environment spark your interest? Then, is the right place for you to explore limitless possibilities. Comms & Media (C&M) is one of the Industry Practices within Accenture's S&C Global Network (GN) team. It focuses in serving clients across specific Industries Communications, Media & Entertainment. Communications Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This dynamic team serves most of the world's leading wireline, wireless, cable and satellite communications and service providers. Media & Entertainment Focuses on industries like broadcast, entertainment, print and publishing.Globally, works to develop value growth strategies for its clients, who are top-notch organizations, and help improve their offers and go-to-market performance and maximize organizational effectiveness. We work on end-to-end projects delivering management and technology consultancy to help our clients achieve greater profitability, quality, and reliability.From multi-year major systems integration transformation deals to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen technology and industry practices, with the following requirements: Deep expertise in one or more Telecom Domains Lead delivery of small to medium-size teams to deliver management consulting projects for global clients. Lead innovation transformation programs and process enablement for our clients Take responsibility within Comms & Media industry group or across the Products group, help build the practice, track metrics, and so on. Develop assets and methodologies , point-of-view, research, or white papers for use by the team and larger community. Support global sales team to identify and win potential opportunities within the practice. Help in drafting proposals as an expert for domain areas. Lead proposals, business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Understand customer needs and translate them to business requirements, business process flows and functional requirements Experience to engage with stakeholders independently Execute a transformational change plan aligned with client's business strategy and context for change. Engage stakeholders in the change journey and build commitment for change. Bring your best skills forward to excel in the role: Skills in one or more Telecom areas Should have an excellent knowledge on various BSS modules and Telco Journeys such as CRM, Order Management, Billing, Mediation, Provisioning, Collections, Channels, Customer Care, Lead to Cash etc. Digital Transformation - Proven experience in Strategy, Innovation and Digital initiatives across Digital Maturity models, CSPs Operating model, Innovation Barometers, Intelligent operations for CSPs and other related areas Cloud BSS - Determine the appropriate Cloud deployment model & design BSS journey to cloud strategies engineered to accelerate ROI and performance. Good to have knowledge of tools like AWS, Azure, SFDC, etc. Business Strategy - Leading/managing strategic initiatives and develop project plans, frame and conduct insightful analyses, identify solutions, and develop business cases and implementation plans for CSPs across the globe Transformation & Project Governance - Drive profitability and continued success though managing service quality, cost and leadership of the people delivering services across projects/ programs/portfolios of all scale Should have understanding of lean concepts and hands-on experience in delivering technology-driven business transformation projects using agile practices such as Scrum, Kanban, SAFe, etc. Experience in agile related tools like JIRA Confluence/Rally/MS Projects/VersionOne Certification profession in PSM/CSM/SAFe/ICP-ACC Skills in one or more roles Experience in the role of Functional Business Analyst, Product Owners, Process Designers, Service Designers, Scrum Masters, Program Delivery Managers Business Analysis - Gather requirements from business and prepared requirement documents. Propose solutions to the client based on gap analysis for the existing Telco platforms. Analyse large data to conduct analysis and present insights with visualisations Process Improvement - Understand issues with the current processes which can be resolved either through technology or process solutions and design detail level to-be process with all stakeholders Value Architect and Tracking - Create value driver trees to breakdown into value components of business objectives and value drivers Other required skills Communication and Presentation - Plan and deliver well-structured oral and written communications Structured Problem Solving - Help identify and structure key client challenges into hypotheses and conduct analyses to address the challenges Stakeholder Management - Manage mid-level to senior client leadership and lead conversations Impeccable team management skills with an ability to engage effectively with multiple stakeholders Strong program management skills Cross-cultural competence with an ability to thrive in a dynamic environment Qualifications Your experience counts! MBA from a Tier 1 and Tier 2 school and Engineering from Tier 1 school or rich relevant industry experience At least 1-15 years of progressive business and/or telecom and consulting experience Knowledge of Telco BSS/OSS stack, its various components, and interactions / flows Strong telecom industry background experience and knowledge of BSS processes for B2C and B2B areas Knowledge of telecom products across wireline, wireless and Enterprise domains eTOM certification is highly desirable Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing soft skills Experience in strategy and business/technology consulting role conversant with process improvement, cost optimization, customer analytics and experience management, telecom technology etc. Experience in value architecting, business case preparation, value realization Experience in Digital, New IT, Cloud & Core modernization, Cloud transformation processes, transforming legacy to the cloud, Agile transformation, RPA, AI/ML strategy implementation and use cases Knowledge of design thinking workshops and innovation Experience in large data analysis, data driven consulting, BI and analytics, reporting, dashboarding, visualization tools like PowerBI, Tableau Certifications like CBAP, CSM, SPC, Prince 2 or PMP will be an added advantage For Experienced candidates, experience of team Management Coach and mentor team members in projects, on asset development, BDs and overall professional development Whats in it for you? An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions underpinned by the worlds largest delivery network Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our S&C Global Network (GN) a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network (GN) teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world.For more information visit At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, .

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (example:AWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills:-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualifications 15 years full time education

Job Title - S&C Global Network - AI - Marketing (MMM) - Consultant Management Level: 9-Team Lead/Consultant Location: Bengaluru, BDC7C Must-have skills: Market Mix Modeling (MMM) Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Must have knowledge of SQL language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. WHAT'S IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. Youll work with MMM experts, and Accenture will support you in growing your own tech stack and certifications In Applied intelligence you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 3+ years of experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with nonlinear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Snowflake Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models. Working along with the team and consultant/manager Looking for insight and creating a presentation to demonstrate these insights Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress About Our Company | Accenture Qualifications Experience: 8 to 10 Years Educational Qualification: B.Com with 15 yrs edu

Job Title - Retail Specialized Data Scientist Level 9 SnC GN Data & AI Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: A solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions. Strong ability to communicate complex data insights to non-technical stakeholders, including senior management, marketing, and operational teams. Meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets. Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. Strong proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn). Expertise in supervised and unsupervised learning algorithms Use advanced analytics to optimize pricing strategies based on market demand, competitor pricing, and customer price sensitivity. Good to have skills: Familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud for large-scale data processing. Experience with ETL (Extract, Transform, Load) processes and tools like Apache Airflow to automate data workflows. Familiarity with designing scalable and efficient data pipelines and architecture. Experience with tools like Tableau, Power BI, Matplotlib, and Seaborn to create meaningful visualizations that present data insights clearly. Job Summary :The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help our retail business make data-driven decisions. This individual will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights. Roles & Responsibilities: Leverage Retail Knowledge:Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. Apply machine learning algorithms, such as classification, clustering, regression, and deep learning, to enhance predictive models. Use AI-driven techniques for personalization, demand forecasting, and fraud detection. Use advanced statistical methods help optimize existing use cases and build new products to serve new challenges and use cases. Stay updated on the latest trends in data science and retail technology. Collaborate with executives, product managers, and marketing teams to translate insights into business actions. Professional & Technical Skills : Strong analytical and statistical skills. Expertise in machine learning and AI. Experience with retail-specific datasets and KPIs. Proficiency in data visualization and reporting tools. Ability to work with large datasets and complex data structures. Strong communication skills to interact with both technical and non-technical stakeholders. A solid understanding of the retail business and consumer behavior. Programming Languages:Python, R, SQL, Scala Data Analysis Tools:Pandas, NumPy, Scikit-learn, TensorFlow, Keras Visualization Tools:Tableau, Power BI, Matplotlib, Seaborn Big Data Technologies:Hadoop, Spark, AWS, Google Cloud Databases:SQL, NoSQL (MongoDB, Cassandra)

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (example:AWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills:-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualifications 15 years full time education

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Required Technical and Professional Expertise EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience Preferred Technical and Professional Experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms

Job Summary :We are seeking a skilled and passionate Data Science Trainer cum Developer to join our team.The ideal candidate will be responsible for delivering high-quality training in Data Science,Machine Learning, and Python Programming, as well as contributing to internal and client-baseddevelopment projects. This role combines strong teaching skills with hands-on developmentexpertise, making it ideal for professionals who enjoy mentoring others while staying technicallyactive. Key Responsibilities:Training & Mentorship: Design and deliver engaging training sessions on Data Science, Python, Machine Learning, Deep Learning, and related tools. Create curriculum content, tutorials, assignments, and assessments for learners at various levels. Provide personalized mentorship and guidance to students or trainees. Stay up-to-date with industry trends and incorporate relevant real-world examples into training.Development Responsibilities: Contribute to internal product development or client projects using data science, machinelearning, and software development practices. Develop and maintain analytical models, dashboards, and scripts for data-drivensolutions. Collaborate with cross-functional teams for project planning and implementation. Required Skills;Qualifications: Strong knowledge of Python programming. Exposure to SQL databases. Hands-on experience with Data Science tools such as Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, TensorFlow/PyTorch, etc. Solid understanding of statistics, data wrangling, and visualization. Good Understanding on Machine Learning and Deep Learning models. Solid Foundation in NLP and working with textual data. Excel and Microsoft Power BI for Data Analysis. Ability to communicate complex concepts in a simple, engaging way. Excellent problem-solving and analytical skills. Good to Have: Familiarity with cloud platforms (AWS, Azure, GCP) and deployment tools. Experience with Django/Flask or similar backend frameworks.

Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Advisor, Systems Engineering What does a successful AI/ML-Data Science Engineer do? We are seeking a highly skilled Senior Data Scientist to join our team and drive our AI Ops initiatives. The ideal candidate will leverage advanced analytics, machine learning, and data-driven insights to enhance operational efficiency, improve decision-making, and support the deployment of AI solutions across the organization. What You Will Do Develop and implement machine learning models and algorithms to optimize AI operations and enhance system performance. Collaborate with cross-functional teams to identify business needs and translate them into data-driven solutions. Analyze large datasets to extract actionable insights and support strategic decision-making. Design and conduct experiments to validate model performance and improve operational processes. Monitor and maintain AI models in production, ensuring they operate effectively and efficiently. Communicate findings and recommendations to stakeholders through clear visualizations and presentations. Stay updated on industry trends and emerging technologies in AI and data science to drive innovation within the organization. Mentor junior data scientists and contribute to the development of best practices in data science and AI Ops. What You Will Need To Have Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field. 7+ years of experience in data science, with a focus on AI and machine learning applications. Proficiency in programming languages such as Python, R, or Scala, and experience with data manipulation libraries (e.g., Pandas, NumPy). Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data visualization tools (e.g., Tableau, Matplotlib). Experience with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark). Excellent problem-solving skills and the ability to work with complex datasets. Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders. Proven track record of successful project management and collaboration in a team-oriented environment. Thank You For Considering Employment With Fiserv. Please Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our Commitment To Diversity And Inclusion Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note To Agencies Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning About Fake Job Posts Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address. Show more Show less

Job Title: Data Analyst InternLocation: Andheri East, Marol, Mumbai (On-site)Work Timings: Monday to Friday, 12:00 PM – 9:00 PMCompany: Global Consulting (GC), a Rexus Group Sister CompanyInternship Duration: 3 to 6 Months (with possibility of extension or full-time role based on performance)Stipend: Competitive, based on qualifications and experienceJob Description:We are looking for a Data Analyst Intern to support our Lead Generation and Business Intelligence efforts. This role involves analyzing large datasets, identifying trends, and extracting actionable insights to help improve our sales and marketing strategies. The ideal candidate should have strong analytical skills, knowledge of data visualization tools, and a keen interest in working with large datasets.Key Responsibilities:Conduct data analysis to identify potential leads and business opportunities.Use tools like Excel, SQL, Power BI, and Python to clean, analyze, and visualize data.Develop and maintain lead databases, ensuring accuracy and completeness.Perform market research and competitor analysis to support business strategy.Generate custom reports and dashboards to track performance and insights.Assist in building and optimizing data pipelines for lead scoring and segmentation.Collaborate with the sales and marketing teams to refine target audience and outreach strategies.Identify trends, patterns, and anomalies in customer behavior and lead generation campaigns.Support ad-hoc data requests and performance analysis of marketing campaigns.Required Skills & Qualifications:Education: Pursuing or completed a Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or related fields.Technical Skills:Proficiency in Excel (Pivot Tables, VLOOKUP, Macros, etc.)Knowledge of SQL for querying databasesExperience with Python (Pandas, NumPy, Matplotlib, Seaborn) or RFamiliarity with Power BI or Tableau for data visualizationUnderstanding of data cleaning, data processing, and statistical analysisAnalytical Thinking: Ability to interpret data and generate meaningful insights.Communication Skills: Strong verbal and written communication skills for presenting insights to stakeholders.Attention to Detail: Ability to spot trends and inconsistencies in large datasets.Problem-Solving Skills: Ability to apply analytical methods to solve business challenges.Self-Motivated: Willingness to learn and take initiative in a fast-paced environment.Preferred Qualifications (Good to Have):Experience with Google Analytics, HubSpot, or CRM tools.Exposure to lead scoring models and marketing analytics.Understanding of AI/ML concepts for predictive analytics.Basic knowledge of ETL processes and data warehousing.

Job Title: AI/ML Engineer (Fresher)Location: Channai & Hyderabad.Job Type: Full-timeExperience: Fresher (0-1 year)Company: Teralanx.Job OverviewWe are looking for a passionate Fresher AI/ML Engineer to join our team. The ideal candidate should have a strong foundation in Artificial Intelligence, Machine Learning, and Data Science, along with hands-on experience in Python, ML frameworks, and problem-solving skills. You will work on real-world AI projects, develop models, and contribute to impactful solutions.Key ResponsibilitiesDevelop, train, and optimize machine learning/deep learning models for various applications.Work on data preprocessing, feature engineering, and model evaluation.Implement AI/ML algorithms (Supervised, Unsupervised, Reinforcement Learning, NLP, Computer Vision, etc.).Collaborate with cross-functional teams to integrate AI solutions into products.Stay updated with the latest advancements in AI/ML technologies.Assist in deploying models using MLOps tools (Docker, Flask, FastAPI, etc.).Participate in research and prototyping of new AI-based solutions.Skills & QualificationsEducational Background: Bachelor’s/Master’s in Computer Science, Data Science, AI/ML, or related fields.Strong understanding of Python programming and libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.Knowledge of ML algorithms (Regression, Classification, Clustering, Neural Networks, etc.).Familiarity with NLP, Computer Vision, or Generative AI is a plus.Basic understanding of SQL, Data Visualization (Matplotlib, Seaborn).Experience with Git, Jupyter Notebooks, and cloud platforms (AWS/GCP/Azure) is desirable.Strong analytical and problem-solving skills.Good communication and teamwork abilities.

Profile : Machine Engineer Experience : 2 To 6 Years Requirement Python, pandas, NumPy, MySQL Data Visualization, Matplotlib, Seaborn, Data Cleaning Deep Learning : ANN, CNN, DNN, Back Propagation, TensorFlow 2.x, Keras Web scraping : various library Natural Language processing : Understanding, representation, classification & clustering NLTK,BOW, TFIDF, word2vec Machine Learning : Supervised, Unsupervised (All Algorithm), etc Location : Noida Sector 63 (Work From Office) Working Days : 5 Job Description The Machine Learning Lead will oversee the full lifecycle of machine learning projects, from concept to production deployment. The role requires strong technical expertise and leadership to guide teams in delivering impactful AI-driven solutions. Key Responsibilities Design and implement scalable ML models for various business applications. Manage end-to-end ML pipelines, including data preprocessing, model training, and deployment. Fine-tune foundation models and create small language models for deployment on AWS Inferentia and Trainium. Deploy ML models into production environments using platforms such as AWS. Lead the implementation of custom model development, ML pipelines, fine-tuning, and performance monitoring. Collaborate with cross-functional teams to identify and prioritize AI/ML use cases. Required Skills Expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong experience deploying ML models on cloud platforms, especially AWS. In-depth knowledge of SageMaker and SageMaker Pipelines. Familiarity with RAG-based architectures, agentic AI solutions, Inferentia, and Trainium. Advanced programming skills in Python with experience in APIs and microservices. Exceptional problem-solving abilities and a passion for innovation. (ref:hirist.tech)

Hello, We are hiring for "Sr Python Developer +ML" for Bangalore location. Exp :4+Years Loc: Bangalore Notice period : Immediate joiners(notice period served candidates) JD: 1. Good hands-on experience with python programming language. 2. Knowledge of Data preparation and data analysis using python pandas or equivalent. 3. Building Machine learning models, end to end steps form Data understanding and inference generation. 4. Making of reports using python visualization libraries like matplotlib, seaborn etc. 5. Experience with ML use cases, supervised and un-supervised learning. 6. Understanding of 'Recommendation systems' 7. Awareness about AWS cloud components like S3, lambda, Sagemaker. 8. Awareness about GCP cloud components like GCS, vertex AI, notebook scheduling. 9. Database- Biqquery- to perform CRUD. 10. Some idea with Linux systems to be able to interact with server and setup/run cron jobs. 11. Knowledge about implementing deep learning/ new AI models 12. Soft skills - team communication, analytical ability

About The Role : In Scope of Position based Promotions (INTERNAL only) Job TitleCapital & Liquidity Management Analyst LocationMumbai, India Corporate TitleAnalyst Role Description Group Capital Management plays a central role in the execution of DBs strategy. While Group Capital Management manages DB Groups solvency ratios (CET 1, T1, Total capital ratio, leverage ratio, MREL/TLAC ratios, ECA ratio) together with business divisions and other infrastructure functions, EMEA Treasury manages in addition to the solvency ratios of DBs EMEA entities also the liquidity ratios and Treasury Pool activities. Thereby, EMEA Treasury links into DB Groups strategy and manages execution on a local level. Treasury Treasury at Deutsche Bank is responsible for the sourcing, management and optimization of liquidity and capital to deliver high value risk management decisions. This is underpinned by a best-in-class integrated and consistent Treasury risk framework, which enables Treasury to clearly identify the Banks resource demands, transparently set incentives by allocating resource costs to businesses and manage to evolving regulation. Treasurys fiduciary mandate, which encompasses the Banks funding pools, Asset and liability management (ALM) and fiduciary buffer management, supports businesses in delivering their strategic targets at global and local level. Further Treasury manages the optimization of all financial resources through all lenses to implement the groups strategic objective and maximize long term return on average tangible shareholders equity (RoTE). The current role is part of the Treasury Office in DBC Mumbai. The role requires interactions with all key hubs i.e. London, New York, Frankfurt and Singapore. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities The core deliverables for this role are Write code and implement solution based on specifications. Update, design and implement changes to existing software architecture. Build complex enhancements and resolve bugs. Build and execute unit tests and unit plans. Implementation tasks are varied and complex needing independent judgment. Build a technology solution which is sustainable, repeatable, agile. Align with business and gain understanding of different treasury functions. Your skills and experience Must have core capabilities of strong development experience in Python and Oracle based application Strong in Algorithm, Data Structures and SQL Some experience with Integration/build/testing tools Good to have working knowledge of visualization libraries like plotly, matplotlib, seaborn etc. Exposure to webservice, webserver/application server-based development would be added advantage but not mandatory A basic understanding of Balance sheet and Treasury concepts is desirable but not mandatory Effective organizational and interpersonal skills Self-starting willingness to get things done A highly motivated team player with strong technical background and good communication skills Urgency Prioritize based on need of hour An aptitude to learn new tools and technologies Engineering graduate / BS or MS degree or equivalent experience relevant to functional area 3 + years software engineering or related experience is a must How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About Turing: Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Role Overview: We're looking for PhD-level Mathematicians to work with a frontier AI R&D team focused on crafting high-quality [problem, solution] data that targets known failure patterns in today's top language models. You will work directly with the founders, helping create mathematical tasks that reflect deep conceptual challenges—comparable to those found in FrontierMath or IMO-level problem-solving. Prior experience with competitive math (IMO coaching/problem-setting/winning) is a plus, but not required—we’re open to grooming strong PhD talent into this space. What You’ll Do:Design and solve challenging math problems that expose weaknesses in large language models.Create high-quality, step-by-step solutions with clear reasoning and multimodal support (equations, visuals, graphs, simulations).Collaborate with founders to align problem types with model evaluation goals, particularly in topics where models typically fail (e.g., abstraction, multi-step reasoning, symbolic manipulation).Help define new evaluation benchmarks inspired by high-school olympiad math, early undergrad curriculum, and theoretical mathematics.Mentor/coach or review work from other math contributors or junior collaborators. What We’re Looking For:PhD (or strong MSc) in Mathematics or a closely related field.Strong problem-solving background—comfortable designing and solving non-standard problems.Excellent communication and writing skills, especially in explaining step-by-step mathematical reasoning.Experience with Lean tool (highly preferred) or Coq, Isabelle, HOL Light, or other similar theorem proversFamiliarity with LaTeX and math visualization tools (Desmos, GeoGebra, Python/Matplotlib, etc.).Nice-to-Have experience with Olympiad level competitions (as a contestant, coach, or problem-setter)Exposure to AI/LLM research, especially on evaluation or reasoning tasks.Technical Setup: Desktop/Laptop with reliable internet connection and necessary software for mathematical computations, visual content creation, simulations, and online collaboration. Job Benefits:Collaborative work environment with other math enthusiasts.Flexible working hours and remote work environment.Opportunity to work on cutting-edge AI projects with leading LLM companies. Note: Shortlisted candidates may be required to complete an assessment as part of the selection process.

About Turing: Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Role Overview: We're looking for PhD-level Mathematicians to work with a frontier AI R&D team focused on crafting high-quality [problem, solution] data that targets known failure patterns in today's top language models. You will work directly with the founders, helping create mathematical tasks that reflect deep conceptual challenges—comparable to those found in FrontierMath or IMO-level problem-solving. Prior experience with competitive math (IMO coaching/problem-setting/winning) is a plus, but not required—we’re open to grooming strong PhD talent into this space. What You’ll Do:Design and solve challenging math problems that expose weaknesses in large language models.Create high-quality, step-by-step solutions with clear reasoning and multimodal support (equations, visuals, graphs, simulations).Collaborate with founders to align problem types with model evaluation goals, particularly in topics where models typically fail (e.g., abstraction, multi-step reasoning, symbolic manipulation).Help define new evaluation benchmarks inspired by high-school olympiad math, early undergrad curriculum, and theoretical mathematics.Mentor/coach or review work from other math contributors or junior collaborators. What We’re Looking For:PhD (or strong MSc) in Mathematics or a closely related field.Strong problem-solving background—comfortable designing and solving non-standard problems.Excellent communication and writing skills, especially in explaining step-by-step mathematical reasoning.Experience with Lean tool (highly preferred) or Coq, Isabelle, HOL Light, or other similar theorem proversFamiliarity with LaTeX and math visualization tools (Desmos, GeoGebra, Python/Matplotlib, etc.).Nice-to-Have experience with Olympiad level competitions (as a contestant, coach, or problem-setter)Exposure to AI/LLM research, especially on evaluation or reasoning tasks.Technical Setup: Desktop/Laptop with reliable internet connection and necessary software for mathematical computations, visual content creation, simulations, and online collaboration. Job Benefits:Collaborative work environment with other math enthusiasts.Flexible working hours and remote work environment.Opportunity to work on cutting-edge AI projects with leading LLM companies. Note: Shortlisted candidates may be required to complete an assessment as part of the selection process.

Evening shift starting from 8:30 pm onwards. What does day-to-day look like: Design and solve challenging math problems that expose weaknesses in large language models. Create high-quality, step-by-step solutions with clear reasoning and multimodal support (equations, visuals, graphs, simulations). Collaborate with founders to align problem types with model evaluation goals, particularly in topics where models typically fail (e.g., abstraction, multi-step reasoning, symbolic manipulation). Help define new evaluation benchmarks inspired by high-school olympiad math, early undergrad curriculum, and theoretical mathematics. Mentor/coach or review work from other math contributors or junior collaborators. Requirements: PhD (or strong MSc) in Mathematics or a closely related field. Strong problem-solving backgroundcomfortable designing and solving non-standard problems. Excellent communication and writing skills, especially in explaining step-by-step mathematical reasoning. Experience with Lean tool (highly preferred) or Coq, Isabelle, HOL Light, or other similar theorem provers Familiarity with LaTeX and math visualization tools (Desmos, GeoGebra, Python/Matplotlib, etc.). Nice-to-Have experience with Olympiad level competitions (as a contestant, coach, or problem-setter) Exposure to AI/LLM research, especially on evaluation or reasoning tasks. Technical Setup: Desktop/Laptop with reliable internet connection and necessary software for mathematical computations, visual content creation, simulations, and online collaboration.

An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.)Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps / friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL / PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques / tools and Process Mining / Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.)- Nice to have Strong communicationand presentation skills. Understanding of business processes.

About The Role Mandatory SkillGen AI, LLM, GPT-3, RAG, Lang chain, Llama, AI/ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, Keras, Pandas, NumPy Preferred SkillAWS or GCP or Azure Cloud, MLOps, GPT-4, SQL, Scikit-learn, Matplotlib, Seaborn, Hadoop, Spark, or Apache Flink, Banking exposure Required Skill Programming LanguagesProficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. Machine LearningStrong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Data ScienceExperience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn. Big Data TechnologiesFamiliarity with big data processing frameworks like Hadoop, Spark, or Apache Flink. Cloud PlatformsExperience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions. Natural Language Processing (NLP)Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3. Computer VisionExperience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN. Problem-SolvingStrong analytical and problem-solving skills with the ability to think critically and creatively. CommunicationExcellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team CollaborationAbility to work effectively in a collaborative team environment and contribute to team success. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Experience: 1.00 + years Salary: INR 2000000 / year (based on experience) Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Hybrid (Bengaluru) Placement Type: Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Healthplix Technologies) What do you need for this opportunity? Must have skills required: Data Visualization, SQL, MySQL, Python, machine learning, Statistics, GIT, Tableau, NLP, TensorFlow, Pandas, Scikit, LLM, whisper, riva, wav2vec Healthplix Technologies is Looking for: About HealthPlix : HealthPlix is an innovative Health-Tech company, bringing technology to the heart of healthcare - doctors. Using assistive AI-powered EMR software, HealthPlix empowers doctors to drive better health outcomes for their patients by providing clinical decision support at the point of care. Currently, 16million+ patients across India have been treated through the HealthPlix EMR platform by doctors practicing across 16+ specialties. HealthPlix's doctor base and network span across 370+ cities in India making it the largest EMR software used by doctors to digitize the care in Indian healthcare. Headquartered in Bangalore, HealthPlix began its operations in 2014The company is backed by marquee investors like Lightspeed Ventures, Chiratae Venture, Kalaari Capital and JSW Ventures. In 2021 HealthPlix raised $13.5 million as part of its ongoing Series B funding from Lightspeed Ventures and JSW Ventures. Job Description : The Junior Data Scientist will work with cross-functional teams across Data Science, Product and Sales teams. As a Junior Data Scientist, you will be supporting the development and deployment of data-driven solutions to solve complex business problems. You will work closely with senior data scientists, data engineers, and cross-functional teams to extract actionable insights from data, build predictive models, and contribute to the overall data strategy of the organization. High level of integrity is a key requirement as we are dealing with extremely sensitive and confidential healthcare data. Responsibilities : Collect, clean, and preprocess data from various sources and databases. Processing confidential data and information according to guidelines. Implement statistical and machine learning algorithms for predictive modeling. Conduct model testing and validation, including performance evaluation. Converting business requirements from client to data-driven output Collaborate effectively with cross-functional teams, including data engineers and business analysts. Take initiative to learn and experiment with new techniques and tools. Requirements : Bachelor's degree from a reputed Engineering college. 1-3 years of work experience in data Science, preferably in a startup. Experience with data visualization tools (e. g., Matplotlib, Seaborn, Tableau). Proficiency in using query languages such as SQL and experience of working with relational and non relational databases like MySQL, Postgres, Presto, and Mongo (Athena/redshift experience is an added advantage). Proficiency in any modern BI tools like Tableau Understanding of Python for Data pre-processing/building models using Numpy, Pandas, Scikit, and Tensorflow. NLP and LLM understanding is good to have. Understanding of Basic Statistics. Previous experience with version control systems (e. g., Git). High-level written and verbal communication skills. Why Explore a Career at HealthPlix : HealthPlix was born with a vision to drive better health outcomes at a population level. Just as a doctor's journey starts with a passion to impact society, our goal is to make a difference in healthcare through technology and empower doctors in the process. Today, we are a 400+ strong team of learners and leaders who share their passion for healthcare. The only thing that hasn't changed is an inherent belief in the core values that continue to inspire who we are and what we do today. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal.Step 2: Complete the Screening Form & Upload updated ResumeStep 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!